পদ্ধতির তুলনা করুন

	ডাইলেটেড সিএনএন	গেটেড রিকারেন্ট ইউনিট (GRU)
ক্ষেত্র	গভীর শিখন	গভীর শিখন
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	2016	2014
প্রবর্তক	van den Oord, A. et al.; Bai, S., Kolter, J.Z. & Koltun, V.	Cho, K. et al.
ধরন	Deep learning (dilated 1D convolutional network)	Gated recurrent neural network unit
মৌলিক উৎস	van den Oord, A. et al. (2016). WaveNet: A Generative Model for Raw Audio. arXiv.	Cho, K. et al. (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. EMNLP.
অপর নাম	Dilate Edilmiş CNN (WaveNet / TCN), WaveNet, Temporal Convolutional Network, TCN	Kapılı Tekrarlayan Birim (GRU), gated recurrent unit, gated recurrent network
সম্পর্কিত	5	5
সারসংক্ষেপ	A Dilated CNN is a one-dimensional convolutional network whose receptive field grows exponentially with depth, letting it model long-range structure in time series and audio signals. WaveNet (van den Oord et al., 2016) and the Temporal Convolutional Network of Bai, Kolter and Koltun (2018) are the prominent members of this family.	The Gated Recurrent Unit (GRU) is a gated recurrent neural network cell introduced by Cho and colleagues in 2014 that captures long-range dependencies in sequential data using update and reset gates, achieving performance comparable to LSTM with fewer parameters.